Variabilidade espacial da produtividade da soja e sua correlação com atributos químicos e textura do solo

Abstract

As Brazil is the world's largest producer of soy (Glycine Max L.), research on this crop is growing, as is its planted area. Seeking to intensify production, precision agriculture has contributed to improving the management of agricultural properties and increasing productivity. The objective of this work was to evaluate the spatial variability of soybean productivity and its correlation with chemical attributes and soil texture. The experiment was carried out in a commercial area located in the municipality of Nova Andradina/MS. The sampling grid was 1 point for every 2.9 hectares with 30% additional points, totaling 102 points. The collection of soil samples was carried out in the 0.00 - 0.20 m layer. The following were analyzed: granulometry, soil chemical attributes, vegetation and productivity indices. The data obtained were interpolated using ordinary kriging in the Qgis program to generate spatial variability maps for each attribute. All attributes were correlated with productivity. It was observed that texture and chemical attributes are heterogeneously present in the soil and should be managed as such. The liming and fertilization recommendation maps at varying rates allow you to apply inputs more effectively. The NDVI and NDRE vegetation indices demonstrate the locations of possible productivity losses. The positive correlation between sand and productivity demonstrated that soils with higher concentrations of sand can achieve good productivity.